Open source alternatives to timesfm-forecasting
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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by shareAI-lab - A really interesting analysis of how coding agents like Claude
About timesfm-forecasting
timesfm-forecasting
Performs zero-shot time-series forecasting
timesfm-forecasting is an agent skill for zero-shot time-series forecasting with Google's TimesFM. It covers preparing regular-grid CSV data, producing quantile forecasts, using XReg covariates, and held-out evaluation. The skill begins by making you choose the model and its interface, because the Python package version and the model checkpoint version are separate. For TimesFM 2.5 with 200 million parameters, the interface gives a mean and nine deciles, and its weights are Apache-2.0. The newer TimesFM 3.0, with about 330 million parameters, gives nine deciles and has downloaded weights restricted to non-commercial, non-production use. The skill keeps 2.5 as its default local workflow because its Apache-licensed weights have different usage terms. For 3.0 work on multivariate targets, past-only covariates or Apple MLX, it points to a separate reference file to read before adapting code. A Google Cloud entitlement does not change the licence of downloaded weights, so check the upstream licence notice before commercial use. Use it when you need a forecast for a regular time series without training a model on your own data.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/timesfm-forecasting